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and Sustainability IV 107

Cost analysis of compared to its competing technologies

O. Gudmundsson1, J. E. Thorsen1 & L. Zhang2 1Danfoss A/S, District Energy Division, Application Center, 2Department of Civil Engineering, Technical University of Denmark, Denmark

Abstract

When talking about energy sustainability it is important to note that energy quality should be fitted to the intended use of the energy. Today, heat generation accounts for over 40% of the total energy use in Europe and only a minority of this heat is delivered by district heating. As for energy quality and heating, space heating generally requires heat with energy quality of only 7% and domestic hot requires energy quality of 15%. It is therefore a complete waste of energy quality to serve these sectors with , which has an energy quality of 100% or by burning fossil in individual gas . The alternative is to deliver low quality heat through district heating network to end users. It is a common misunderstanding that district heating is an investment expensive technology. In this paper it is shown that the total investment costs are typically lower than for competing technologies. Due to the fact that district heating is invariant to the heat source it can easily be the cleanest heating option available and further, it provides the best possible means to match the energy quality to the energy need. This paper will shed some light on: a) the investment cost when establishing district heating network for inner and outer ; b) the cost of a few of the available heat sources for district heating; c) how district heating, cost wise, compares to other heating technologies available. The main conclusion of the paper is that district heating is an important player in today’s heat market and has the potential to be a key player in future energy

WIT Transactions on Ecology and The Environment, Vol 176, © 2013 WIT Press www.witpress.com, ISSN 1743-3541 (on-line) doi:10.2495/ESUS130091 108 Energy and Sustainability IV markets and provide the means to fulfil the ambitious green energy goals set forth in the 20-20-20 goals. Keywords: district heating, renewables, energy, efficiency, environmentally friendly, gas emissions.

1 Introduction

District heating is an economical and environmentally friendly way of distributing heat (DH) to end users. The heat supplied in district heating is produced in an energy efficient way which has the potential to significantly cut emissions. In many countries, district heating has been actively promoted as an important component in the national strategic energy planning [1]. With the more and more stringent environmental regulation and the increasing awareness of supply, the fossil will be gradually phased-out and replaced by . One of the features of DH is that it is invariant about the energy source. This feature of DH provide means to use low exergy sources like and renewable energy to match the low exergy demand for heating of buildings [2]. Due to this feature DH has the potential to play an important role in the future energy supply structure [3]. Heat sources for DH can be for example waste [4], geothermal [5], solar thermal [6], /gas [7], or through the combination of different renewable energy sources [8]. When it comes to space heating and domestic hot water (DHW) preparation there are few solutions available, however there is one that particularly stands out, district heating (DH), due to its different nature compared to the rest. There are many benefits having a DH network, for example high efficiency, low CO2 emissions, indifference on fuel sources and possibility of using local heat/fuel sources [4–7], operational stability and many others. Further on it can be run on multiple heat sources which open up for optimal heat production for a given time [8]. Despite all the benefits of DH it is frequently overlooked by policy makers all over the world. The main reasons for this is perhaps due to high alleged initial investment costs, heat losses and the perception that buildings in Western Europe do not need as much heat as buildings in for example the Scandinavian countries. As for heat demands of buildings it has been shown that there is a remarkably little heat demand difference across Europe [9]. The common misunderstanding that DH is an expensive solution perhaps arises due to the fact that investment costs are typically funded by one identity instead of all house owners connected to the network, as it would be in case of decentralized heating solutions. The investments costs may therefore be hard to fund, especially if clear governmental policies are not available. In this paper it is shown that the cost of heat production in a DH network is lower than if decentralized heat production would be used. Furthermore DH allows usage of fuels that are not applicable for decentralized heat production, and it opens up for usage of waste heat from industry. By utilizing heat sources that are not applicable for decentralized heating solutions the matter of heat losses becomes arbitrary, this is especially true for utilization of waste heat. Further on heat

WIT Transactions on Ecology and The Environment, Vol 176, © 2013 WIT Press www.witpress.com, ISSN 1743-3541 (on-line) Energy and Sustainability IV 109 losses in DH network are typically more than compensated by more efficient heat generation than in decentralized heating solutions. Investment costs stated in this analysis originate from Denmark and and are assumed to apply to other countries as well. Fuel costs are published average fuel costs for each of the countries this analysis looks on. All costs exclude VAT. Today the most common heating options are, not necessarily in order of importance: a) district heating, b) solar thermal, c) gas/ boilers, d) ground/air heat and e) electrical heaters. All of those heating options have their pros and cons. Option a) is independent on fuel source, has economy of scale, and gives the consumer the possibilities of varying capacity depending on consumers’ requirements. With modern consumer installations and energy meters very high user control can be achieved for energy consumption. Option b) is a decentralized option. The energy input is free . The drawback is that it does not work if there is no sun and has therefore to be coupled to other heating options. Option c) is a decentralized unit that is coupled to a gas grid, if available. The drawback is that the unit operates with in consumer’s houses which increases risk of fires. Additionally the units have a fixed capacity. Option d) is an electrical driven process that moves heat from cold to hot location with high efficiency. The drawback is that it is using high grade energy, electricity, to operate. Option e) fulfils the heating demand by electrical resistance. The drawback is that it is inefficient electrical heating compared to option d) and is using high grade energy.

2 Base for calculation

In this analysis a community of 3.000 buildings is investigated where an average floor area 120 m2 is assumed pr. consumer unit. It is no question that DH is economical for traditional houses so this analysis focuses on new low energy buildings with heat demands of 8 MWh/year, thereof 3.2 MWh are due to domestic hot water (DHW) consumption. It is assumed that peak demands 25 W/m2. For capacity requirements the heat generation equipment needs to be sized to fulfill both space heating and DHW requirements, additionally it should include the expected heat losses at peak demand. In this analysis green field area is used for calculations. It is although noted that cost difference of setting up a DH network between green field area and prebuilt area is relatively small, as can be seen in Table 2 and [17]. In this analysis an annual discount rate of 7% is used in all calculations. The discount rate of 7% was chosen due to the long lifetime of the investments and small risks associated with the investments. Further on the time horizon in the calculations are related to the lifetime of components.

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2.1 Cost calculation method

For a fair comparison between different heating options it is necessary to take into account investment costs, operational costs, fuel costs and expected lifetime of the units. Investment costs are spread over the lifetime of the equipment using annualized cost calculations, Eq. (1). (1) where the WACC stands for Weighted Average Cost of Capital, or the interest rate that satisfies the owner, Total Capex stands for the total investment costs, cost of the unit + installation costs. Additionally, the maintenance cost is taken into account for each unit, fuel cost and unit efficiency. The calculation flow chart is shown in Figure 1.

Figure 1: Calculation flow chart for calculating the levelized cost of heat.

It is assumed that all technologies use the same in-house distribution system, pipes and radiators. All technology costs are based on a report on the cost of decentralized heating units published by the Danish Energy Agency [10].

3 District heating

3.1 Heat generation

When it comes to a centralized heat process it should always be viewed in terms of the energy source and the environmental impacts it has.

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3.1.1 Energy source Energy source for district heating can be any process that produces heat. Those can be power generation, , solar thermal panels, biomass boilers, geothermal processes and etc. There are no requirements that energy sources should be from a single source. Energy can come from as many and as diversified sources as are economically available for a given district heating network. The benefit of having diversified energy sources feeding the DH network is that it gives the possibility of cost optimization depending on prices of each energy source, additionally it will result in more stable supply network. Energy requirements are generally on a low grade, meaning that it is possible to use low quality energy sources. This is due to that space and DHW preparation do generally not require more than 55°C supply temperature in low energy buildings. This also implies that district heating gives the option to use energy sources that would be hard to use decentralized without a thermal based distribution network. By right choice of energy sources it is possible to minimize environmental impact compared to decentralized heat generation.

3.1.2 Plant capacity When estimating the heat generation capacity required Eq. (2) can be used:

1 (2)

2 where Aavg is average house size [m ], Dp is peak heat demand per square meter 2 [W/m ], NR is network reserve [%], a network reserve of 8% is considered to be sufficient, Epeak load heat loss is expected heat loss of network during peak load, which is considerably less than the average network heat loss, peak load heat losses of 5% are used for plant capacity calculations, and N is number of buildings connected to the network [dimensionless]. Using above formula heat plant capacity for the case used in the analysis would be 10 MW.

3.1.3 Heat plant investment costs Investment costs for different heat generation are taken from a Danish Energy Agency report [11]. Gas and electricity price used are from [12]. Cost information for wood chips for industry is from the report EUBIONET3 – WP3 – price statistics in Europe [13]. Heat plant costs can vary between plants and especially in case of a geothermal heat plant. Further, it should be noted that there are a lot of other possible heat sources for DH that are not mentioned here due to lack of available cost data.

3.1.3.1 High temperature geothermal areas It is important to make clear distinction between low and high temperature geothermal areas. If utilization of high temperature geothermal area is possible, as in , it will provide very competitive energy prices. The Icelandic National Energy Authority has published 3 cost cases for in Iceland, cheap (0,01 €/kWh),

WIT Transactions on Ecology and The Environment, Vol 176, © 2013 WIT Press www.witpress.com, ISSN 1743-3541 (on-line) 112 Energy and Sustainability IV average (0,014 €/kWh) and expensive (0,028 €/kWh) [14]. In all cases this is considerable less than what would be experienced in low temperature geothermal areas. Geothermal energy is generally considered CO2 neutral and a renewable energy.

Table 1: Heat plant cost table.

Specific Operating and Technical Heat plant type investment maintenance Efficiency lifetime costs cost Centralized gas 0,06-0,12 2-5% of 97-105% 20 M€/MW investment costs Low temperature 1,7-1,9 2,5% of 100% 25 geothermal M€/MW investment costs Biomass boiler, 0,3-0,7 1,8-3% of 108% 20 wood chips M€/MW investment costs

3.1.3.2 Combined heat and power plants (CHP) and waste heat from industry During electricity generation in a power plant there will also be heat generation. Typically the electrical efficiency of a power plant is between 40- 50%, which is 40-50% of the energy in the fuel will be transformed to electricity and the remaining, 50-60%, will be heat. Heat is typically of low quality and is in many cases dissipated into the atmosphere. However, heat can be used for space heating and DHW preparation. The price of heat in CHP plants should be priced so that it compensates for the lost power generation when producing heat as well. In the report Efficiency in Electricity Generation [15] the reduction of electricity production is approximately 14% when producing heat as well as power. From this line of thinking cost of heat from CHP is typically assumed to be the lost revenue of the power, given a wholesale electricity price without TAX and distribution costs. In the report “10 myths about the Danish electricity sector” [16], it is shown that cost due to electricity generation in 2012 was around 0.10 €/kWh when supplied to the industry sector. If we assume that the electricity efficiency is 50% for power only plant and for CHP the electricity efficiency drops by 14%, to 43%, and further by assuming a of 50% the cost of heat should be around 0.014 €/kWh. For simplicity the Danish case is considered representative for other countries for surplus and waste heat, this should be fair as Denmark has the highest gas price which is the dominant fuel in power production. The CO2 impact of heat can be calculated similarly, which implies much lower CO2 impact of the heat than for equivalent electricity energy.

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In case of waste heat from industry CO2 impact of heat can be assumed to be zero, as heat is a waste/byproduct of the original process. For industrial waste heat the price should be considered to be the same as from a CHP plant.

3.1.4 Alternative energy sources for district heating As district heating is not limited by a particular energy source it should be mentioned that energy could come from a variety of sources, for example: industrial sized thermal solar panels, excess electricity production (load shifting), excess heat from consumers that operate their own heating units or small industry like supermarkets. If a seasonal heat sources are used, for example solar heat, a seasonal storage can be used to store the heat until needed.

3.2 Distribution network

The main uncertainty when establishing a district heating network is the initial investment in the distribution grid. Costs of the distribution network are highly dependent on the building to area ratio and heat demands. The higher the building to area ratio and heat demands are, the less the investment cost is per heat unit. This has been extensively studied and can be seen in [18]. By using the results in [18] capital cost of the distribution network can be estimated for variety of district heating cases, and especially for network with high energy sales per pipe meter per year (high linear heat density). It can, however, be more difficult to estimate the cost of networks with low building to area ratio. Furthermore, the Swedish District Heating Association has introduced guidelines, [17], on how cost may be expected to vary between already established building areas and green field areas, where green field areas represents un-built areas. Green field areas are from 13-26% less expensive than pre-built areas, depending on whether it is an inner , outer city or a park area. In case of low heat demands per consumer, for example in new buildings, network investment cost would decrease around 10% for each pipe dimension reduction, see [17]. This is, however, omitted in this analysis. In Table 2 cost increases can be seen when going from green field areas to pre-built areas. Investment cost will although end in a relatively flat line when buildings start to rise vertically instead of getting closer together.

Table 2: Distribution network investment costs.

Linear heat Investment cost, Investment cost, Type of density green field area prebuilt area area GJ/m/y €/house €/house Inner city 15 1.400 1.950 Outer city 10 1.600 2.050 Park area 5 2.300 2.650

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It should be mentioned that as the heat density goes towards zero distribution network investments goes to infinity. As cost of installing district heating network pipes depends on many factors the values given in this analysis may not apply to all cases but should give a good starting point.

3.3 Consumer installation

Besides heat plant and distribution network it is required that consumers have a subscription interface, hereinafter substation, to the district heating network. This substation can be on different levels depending on the DH utility requirements; it can be either directly connected or indirectly connected. In the case of indirectly connected systems the building is hydraulically separated from the distribution network, different consumer installations can be seen in [19]. The prices of DH substations vary in relation to the requirements, on average it is 2,500 € with installation [10]. Operating and maintenance cost is assumed to be 150 euro/year. Lifetime of consumer installation is typically 20 years and has an efficiency of about 98%. Due to the diversity of heat sources and the benefits and limitation of a centralized heat production the DH case should be viewed for various cases. Investment cost for district heating is for distribution network and consumer installation. For sake of comparisons the total heat cost in Table 3 is shown in euros per kWh.

Table 3: Distribution grid and consumer installation cost per kWh and distribution losses for given heat density areas in a green field area.

Inner city Outer city Park area Low energy buildings 0.050 €/kWh 0.051 €/kWh 0.060 €/kWh Heat losses in network Low energy buildings 10% 20% 25% Heat loss in consumer installation 2%

3.4 Energy losses

3.4.1 Distribution losses Distribution network plays a significant role in every district heating network. A poorly designed distribution network can cause high heat losses and inability to meet customers’ demands, those things should be addressed during the planning phase. In a modern district heating network the losses are typically in the range of 10%; this will, however, depend on the linear heat density. In the case of high linear heat densities the heat losses can be below 5% while in very low linear heat densities the heat losses could become as high as 25% [20]. In addition to heat losses there are hydraulic pressure losses in the distribution network. The energy consumption due to pressure losses are typically minor compared to the heat losses and are, therefore, neglected in this analysis.

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When considering distribution losses, it has to be kept in mind that the heat source is essential. In many cases the heat would have been lost to the full extent by not utilizing district heating. In cases where a waste heat source is located far from the consumer high heat loss in the distribution system can be accepted. Table 3 shows the heat losses that are used for calculations in this paper; in a real situation the heat losses can be either higher or lower depending on the network.

3.4.2 Heat losses in the building When it comes to the heat losses in the buildings it is assumed that for space heating the heat losses are equivalent between different heating technologies. However when it comes to DHW preparation it matters if the solution requires hot water storage tanks or not, generally district heating does not require storage tanks and for simplicity the assumption in the paper is that the decentralized heating solutions are dimensioned such that DHW is prepared instantaneously and no storage tanks are required, except in case of solar heating. Total heat cost for various cases of DH setups can now be calculated using and the plant data presented above.

3.5 Cost of district heating

Using the data on heat plants, distribution network and substation costs given above, the total cost of heat for different district heating schemes is calculated by the procedure given in Section 2.1 above for various countries (see Table 4).

Table 4: Cost of heat from different DH schemes for low energy buildings in €/kWh.

Inner city Outer city

Geothermal CHP Geothermal Biomass pl ant, l ow Surplus / Gas Biomass pl ant, l ow CHP Surplus / Country Gas boiler boil er temperature was te boi ler boiler temperature was te Bulgaria 0,091 0,109 0,142 0,066 0,097 0,117 0,155 0,069 Denmark 0,126 0,109 0,144 0,066 0,137 0,117 0,157 0,069 Finland 0,106 0,106 0,143 0,066 0,114 0,114 0,156 0,069 Ireland 0,099 0,108 0,146 0,066 0,106 0,116 0,160 0,069 Italy 0,094 0,097 0,149 0,066 0,100 0,104 0,163 0,069 Latvia 0,092 0,104 0,145 0,066 0,098 0,112 0,158 0,069 Lithuania 0,103 0,102 0,145 0,066 0,110 0,110 0,158 0,069 Portugal 0,097 0,095 0,145 0,066 0,104 0,101 0,158 0,069 Slovakia 0,100 0,107 0,146 0,066 0,108 0,115 0,160 0,069 Slovenia 0,112 0,106 0,144 0,066 0,121 0,114 0,157 0,069 Sweden 0,117 0,110 0,143 0,066 0,126 0,118 0,156 0,069 Uni ted Ki ng dom 0,086 0,106 0,145 0,066 0,092 0,114 0,158 0,069 4 Comparison of different technologies

4.1 Decentralized heating technologies

Table 5 shows the total cost of ownership for various decentralized heating technologies. Due to lack of data from other countries all costs and assumptions

WIT Transactions on Ecology and The Environment, Vol 176, © 2013 WIT Press www.witpress.com, ISSN 1743-3541 (on-line) 116 Energy and Sustainability IV for decentralized heating technologies are from a report made by the Danish Energy Agency [10]. The heating equipment is dimensioned such it can fulfill peak heat demands. Gas and electricity price used are from European Commission [12], excluding VAT. Due to missing data on the gas price in Finland in the European Commission statistics the gas boiler is excluded for Finland. It is important to note that in the case of solar heating a theoretical full direct coverage is used, in reality this is not possible and it needs to be coupled with an alternative heating options. Further on the solar radiation is different between different locations, in this analysis the Danish case is taken as the base case for solar thermal. The coefficient of performance (COP) of heat pumps depends on the source temperature, which causes decreased COP for air source heat pumps on cold days.

Table 5: Cost of decentralized heating solutions in €/kWh.

Air source Ground source Solar El e c tr i c al Country Gas boiler heat pump thermal* boiler Bulgaria 0,116 0,161 0,199 0,121 0,118 Denmark 0,173 0,216 0,249 0,129 0,284 Finland N/A 0,173 0,210 0,122 0,156 Ireland 0,129 0,193 0,228 0,125 0,216 Italy 0,156 0,194 0,229 0,126 0,218 Latvia 0,115 0,174 0,210 0,122 0,156 Lithuania 0,123 0,170 0,207 0,122 0,147 Portugal 0,141 0,188 0,223 0,125 0,199 Slovakia 0,120 0,184 0,220 0,124 0,188 Slovenia 0,148 0,178 0,214 0,123 0,170 Sweden 0,180 0,191 0,226 0,125 0,209 Uni ted Ki ng dom 0,128 0,187 0,222 0,124 0,196 *Solar thermal needs to be coupled with other heating solutions as well to get full coverage.

5 Conclusion

Minimization of energy usage is a hot topic today, but it seems to be forgotten that energy comes in different quality. For example electricity is of highest quality while low temperature heat is of significantly lower quality, meaning that there are limitations on how the energy can be used. Energy quality can further be explained by the fact that high quality energy can be used in energy intense processes, for example melting metals while the low quality energy would hardly be able to melt metals, no matter the volume of low quality energy used for the task. Space heating works generally at low temperatures, and it should therefore

WIT Transactions on Ecology and The Environment, Vol 176, © 2013 WIT Press www.witpress.com, ISSN 1743-3541 (on-line) Energy and Sustainability IV 117 use low quality energy and save high quality energy for processes that require high quality energy. As can be seen from above the common assumption that DH is expensive compared with other technologies is simply not correct, not even for future low energy buildings. On the contrary DH is very competitive technology when looking on inner and outer city areas. This can be seen in the light that in an inner city area the initial investment cost, distribution grid per consumer and home installation are estimated to be around 3.900 € while a boiler dimensioned for equivalent comfort typically has initial investment cost of about 5.000 €. In the case the building is not connected to a gas grid additional 2.000 € cost of gas grid connection should be added on top of the boiler cost. Other decentralized heating technologies typically have higher initial investment costs. It is, therefore, clear that the myth of high investment costs of DH is not true. A centralized heat generation further allows for better control of environmentally unfriendly emissions through better equipment, professional operation and more efficient heat generation. When comparing Tables 4 and 5 it can be seen that district heating is a very competitive solution for communities with heat densities that are comparable to inner and outer cities areas, especially if local waste heat from industry or a power plant is available. Due to high uncertainties when it comes to park areas feasibility studies should be carried out for each case. It can clearly be seen that in case of low cost heat sources DH can be very well justified even in low heat density areas. Additional benefits are that DH runs on low exergy energy which matches the exergy need of the intended use of the energy. In Denmark DH networks are commonly consumer or community owned and have no or minimum profit margin, but nonetheless according to the results there are substantial profit margins possible compared to decentralized solutions. Benefits of district heating are not only related to cost, but the system also decreases environmental unfriendly gas emissions substantially and well beyond the targeted reduction in the EU 2020 targets. Due to the nature of district heating and indifference on energy source it can also fulfill the EU 2020 targets on reduction of consumption. It is a common misunderstanding that DH is incompatible to future low energy houses. This paper and other studies as well proof that even with low energy consumption DH is a competitive solution, especially when run with heat from CHP plant or a waste heat from industry.

References

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